ez_anova.RdThis is wrapper to the ez::ezANOVA() function.
ez_anova(
data,
dv,
wid,
within = NULL,
within_full = NULL,
within_covariates = NULL,
between = NULL,
between_covariates = NULL,
observed = NULL,
diff = NULL,
reverse_diff = FALSE,
type = 2,
white.adjust = FALSE,
detailed = FALSE,
return_aov = FALSE
)Data frame containing the data to be analyzed.
Name of the column in data that contains the dependent variable. Values in this column must be numeric.
Name of the column in data that contains the variable specifying the case/Ss identifier. This should be a unique value per case/Ss.
Names of columns in data that contain predictor variables that are manipulated (or observed) within-Ss.
Same as within, but intended to specify the full within-Ss design in cases where the data have not already been collapsed to means per condition specified by within and when within only specifies a subset of the full design.
Names of columns in data that contain predictor variables that are manipulated (or observed) within-Ss and are to serve as covariates in the analysis.
Names of columns in data that contain predictor variables that are manipulated (or observed) between-Ss.
Names of columns in data that contain predictor variables that are manipulated (or observed) between-Ss and are to serve as covariates in the analysis.
Names of columns in data that are already specified in either within or between that contain predictor variables that are observed variables (i.e. not manipulated).
Names of any variables to collapse to a difference score. If a single value, may be specified by name alone; if multiple values, must be specified as a .() list.
Logical. If TRUE, triggers reversal of the difference collapse requested by diff. Take care with variables with more than 2 levels.
Numeric value (either 1, 2 or 3) specifying the Sums of Squares type to employ when data are unbalanced (eg. when group sizes differ).
Only affects behaviour if the design contains only between-Ss predictor variables. If not FALSE, the value is passed as the white.adjust argument to Anova, which provides heteroscedasticity correction.
Logical. If TRUE, returns extra information (sums of squares columns, intercept row, etc.) in the ANOVA table.
Logical. If TRUE, computes and returns an aov object corresponding to the requested ANOVA (useful for computing post-hoc contrasts).
A list containing one or more components as returned by ez::ezANOVA().
ez_anova(data = selfesteem2_long,
dv = score,
wid = id,
within = c(time, treatment),
detailed = TRUE,
return_aov = TRUE)
#> Warning: Converting "time" to factor for ANOVA.
#> $ANOVA
#> Effect DFn DFd SSn SSd F p p<.05
#> 1 (Intercept) 1 11 527535.6806 4641.15278 1250.31275 1.112064e-12 *
#> 2 time 2 22 258.6944 103.97222 27.36922 1.075243e-06 *
#> 3 treatment 1 11 316.6806 224.15278 15.54068 2.303450e-03 *
#> 4 time:treatment 2 22 266.3611 96.30556 30.42371 4.629997e-07 *
#> ges
#> 1 0.99048898
#> 2 0.04858771
#> 3 0.05883780
#> 4 0.04995572
#>
#> $`Mauchly's Test for Sphericity`
#> Effect W p p<.05
#> 2 time 0.4690776 0.02271033 *
#> 4 time:treatment 0.6160746 0.08874965
#>
#> $`Sphericity Corrections`
#> Effect GGe p[GG] p[GG]<.05 HFe p[HF]
#> 2 time 0.6532010 5.033982e-05 * 0.7054565 2.810626e-05
#> 4 time:treatment 0.7225823 1.254728e-05 * 0.8028383 4.815620e-06
#> p[HF]<.05
#> 2 *
#> 4 *
#>
#> $aov
#>
#> Call:
#> aov(formula = formula(aov_formula), data = data)
#>
#> Grand Mean: 85.59722
#>
#> Stratum 1: id
#>
#> Terms:
#> Residuals
#> Sum of Squares 4641.153
#> Deg. of Freedom 11
#>
#> Residual standard error: 20.54076
#>
#> Stratum 2: id:time
#>
#> Terms:
#> time Residuals
#> Sum of Squares 258.6944 103.9722
#> Deg. of Freedom 2 22
#>
#> Residual standard error: 2.173939
#> 2 out of 4 effects not estimable
#> Estimated effects may be unbalanced
#>
#> Stratum 3: id:treatment
#>
#> Terms:
#> treatment Residuals
#> Sum of Squares 316.6806 224.1528
#> Deg. of Freedom 1 11
#>
#> Residual standard error: 4.514147
#> 2 out of 3 effects not estimable
#> Estimated effects are balanced
#>
#> Stratum 4: id:time:treatment
#>
#> Terms:
#> time:treatment Residuals
#> Sum of Squares 266.36111 96.30556
#> Deg. of Freedom 2 22
#>
#> Residual standard error: 2.092254
#> Estimated effects may be unbalanced
#>